Don S. Lee

439 total citations
30 papers, 244 citations indexed

About

Don S. Lee is a scholar working on Political Science and International Relations, Public Administration and Sociology and Political Science. According to data from OpenAlex, Don S. Lee has authored 30 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Political Science and International Relations, 12 papers in Public Administration and 11 papers in Sociology and Political Science. Recurrent topics in Don S. Lee's work include Electoral Systems and Political Participation (13 papers), Public Policy and Administration Research (12 papers) and Local Government Finance and Decentralization (5 papers). Don S. Lee is often cited by papers focused on Electoral Systems and Political Participation (13 papers), Public Policy and Administration Research (12 papers) and Local Government Finance and Decentralization (5 papers). Don S. Lee collaborates with scholars based in South Korea, United Kingdom and United States. Don S. Lee's co-authors include Soonae Park, Paul Schuler, Jieun Son, Jan‐Hinrik Meyer‐Sahling, Jonathan Sullivan, Paul Schüler, Fernando Casal Bértoa, Annemarie S. Walter, John Kuk and Katharine Adeney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Public Administration Review and Public Opinion Quarterly.

In The Last Decade

Don S. Lee

25 papers receiving 239 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Don S. Lee South Korea	10	125	106	100	34	28	30	244
Steve Jefferys United Kingdom	9	103 0.8×	74 0.7×	128 1.3×	25 0.7×	28 1.0×	39	237
Caroline Howard Grøn Denmark	8	87 0.7×	49 0.5×	56 0.6×	35 1.0×	15 0.5×	35	207
Karen Jaehrling Germany	9	89 0.7×	80 0.8×	88 0.9×	45 1.3×	29 1.0×	24	229
Nelson C. Dometrius United States	9	187 1.5×	47 0.4×	127 1.3×	60 1.8×	107 3.8×	25	307
Fredrik Engelstad Norway	8	56 0.4×	57 0.5×	27 0.3×	19 0.6×	18 0.6×	21	177
Victor G. Devinatz United States	8	60 0.5×	115 1.1×	116 1.2×	28 0.8×	19 0.7×	67	232
Olof Petersson Sweden	10	142 1.1×	61 0.6×	22 0.2×	36 1.1×	18 0.6×	35	246
Hans‐Ulrich Derlien Germany	9	196 1.6×	73 0.7×	113 1.1×	66 1.9×	20 0.7×	33	321
Colin Whitston United Kingdom	8	113 0.9×	70 0.7×	220 2.2×	45 1.3×	30 1.1×	16	331
Kendall D. Funk United States	12	157 1.3×	101 1.0×	34 0.3×	29 0.9×	45 1.6×	17	350

Countries citing papers authored by Don S. Lee

Since Specialization

Citations

This map shows the geographic impact of Don S. Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Don S. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don S. Lee more than expected).

Fields of papers citing papers by Don S. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don S. Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Don S. Lee. The network helps show where Don S. Lee may publish in the future.

Co-authorship network of co-authors of Don S. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Don S. Lee. A scholar is included among the top collaborators of Don S. Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Don S. Lee. Don S. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Don S. & Fernando Casal Bértoa. (2025). Classifying Asian party systems: Sartori’s typology in comparative perspective. Italian Political Science Review/Rivista Italiana di Scienza Politica. 1–9.

Lee, Don S.. (2025). Legislative Hearings and Presidential Cabinet Management. Governance. 38(3).

Kuk, John, et al.. (2024). Does Exposure to Election Fraud Research Undermine Confidence in Elections?. Public Opinion Quarterly. 88(SI). 656–680.

Lee, Don S.. (2024). The President's Dilemma in Asia. 3 indexed citations

Lee, Don S., et al.. (2024). Who becomes a civil servant? Evidence from a decade of youth panel analysis. Public Management Review. 27(9). 2148–2171. 2 indexed citations

Lee, Don S., et al.. (2024). How do policy environments shape public service motivation during the national disaster? Evidence from large-scale survey experiments. Journal of Public Policy. 45(1). 1–22.

Lee, Don S., Paul Schüler, & Soonae Park. (2023). Circling the Wagons: How Perceived Injustice Increases Female Bureaucrats’ Support for Female Political Leaders. Journal of East Asian Studies. 23(2). 333–345. 2 indexed citations

Lee, Don S. & Soonae Park. (2023). Do Motivated Public Servants Behave More Ethically?. Review of Public Personnel Administration. 45(1). 29–55. 4 indexed citations

Lee, Don S. & Soonae Park. (2023). Bureaucratic Responsiveness under Dynamic Political Settings: Experimental Evidence from Local Governments. Legislative Studies Quarterly. 49(2). 323–352. 3 indexed citations

10.

Lee, Don S., Annemarie S. Walter, & Soonae Park. (2023). Anti-Corruption Policy and Whistle-Blowing Intentions: Quasi-Experimental Evidence From Meritocratic Civil Service Systems. Administration & Society. 55(6). 1194–1217. 2 indexed citations

11.

Lee, Don S.. (2022). Public assessments of ministerial leadership in times of national crisis: The case of the pandemic crisis. Public Administration. 102(1). 95–113. 4 indexed citations

12.

Lee, Don S., et al.. (2022). Separation of powers, opposition strength, and chief executives' strategy. Governance. 36(2). 479–497. 4 indexed citations

13.

Lee, Don S.. (2022). Agency Heads’ Public Profiles and Bureaucratic Performance. The American Review of Public Administration. 52(6). 409–422. 5 indexed citations

14.

Lee, Don S., et al.. (2021). Breaking the Cabinet’s Glass Ceiling: The Gendered Effect of Political Experience in Presidential Democracies. Comparative Political Studies. 55(6). 992–1020. 9 indexed citations

15.

Park, Soonae & Don S. Lee. (2021). Political Crisis in Central Government and Bureaucrats’ Responses in Provincial Government: The Impact of Governors’ Characteristics. Political Research Quarterly. 75(4). 1186–1200. 8 indexed citations

16.

Lee, Don S. & Soonae Park. (2020). What motivates street-level bureaucrats to implement the reforms of elected politicians?. Policy & Politics. 49(1). 141–160. 12 indexed citations

17.

Park, Soonae, Don S. Lee, & Jieun Son. (2020). Regulatory reform in the era of new technological development: The role of organizational factors in the public sector. Regulation & Governance. 15(3). 894–908. 15 indexed citations

18.

Lee, Don S. & Paul Schuler. (2019). Testing the “China Model” of Meritocratic Promotions: Do Democracies Reward Less Competent Ministers Than Autocracies?. Comparative Political Studies. 53(3-4). 531–566. 35 indexed citations

19.

Lee, Don S.. (2018). PORTFOLIO ALLOCATION AS THE PRESIDENT'S CALCULATIONS: LOYALTY, COPARTISANSHIP, AND POLITICAL CONTEXT IN SOUTH KOREA. Journal of East Asian Studies. 18(3). 345–365. 14 indexed citations

20.

Sullivan, Jonathan & Don S. Lee. (2018). Soft Power Runs into Popular Geopolitics: Western Media Frames Democratic Taiwan. Repository@Nottingham (University of Nottingham). 1(2). 273–300. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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